| Deep convolutional neural networks for hyperspectral image classification W Hu, Y Huang, L Wei, F Zhang, H Li Journal of Sensors 2015, 1-12, 2015 | 1286 | 2015 |
| DeepUNet: A deep fully convolutional network for pixel-level sea-land segmentation R Li, W Liu, L Yang, S Sun, W Hu, F Zhang, W Li IEEE journal of selected topics in applied earth observations and remote …, 2018 | 267 | 2018 |
| Collaborative-representation-based nearest neighbor classifier for hyperspectral imagery W Li, Q Du, F Zhang, W Hu IEEE Geoscience and Remote Sensing Letters 12 (2), 389-393, 2014 | 108 | 2014 |
| TreeUNet: Adaptive tree convolutional neural networks for subdecimeter aerial image segmentation K Yue, L Yang, R Li, W Hu, F Zhang, W Li ISPRS Journal of Photogrammetry and Remote Sensing 156, 1-13, 2019 | 90 | 2019 |
| Hyperspectral image classification by fusing collaborative and sparse representations W Li, Q Du, F Zhang, W Hu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 68 | 2016 |
| Noise-tolerant paradigm for training face recognition CNNs W Hu, Y Huang, F Zhang, R Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 62 | 2019 |
| Accelerating time-domain SAR raw data simulation for large areas using multi-GPUs F Zhang, C Hu, W Li, W Hu, HC Li IEEE Journal of selected topics in applied earth observations and remote …, 2014 | 51 | 2014 |
| Cell classification using convolutional neural networks in medical hyperspectral imagery X Li, W Li, X Xu, W Hu 2017 2nd international conference on image, vision and computing (ICIVC …, 2017 | 48 | 2017 |
| Interactive approximate rendering of reflections, refractions, and caustics W Hu, K Qin IEEE Transactions on Visualization and Computer Graphics 13 (1), 46-57, 2006 | 45 | 2006 |
| Deep CNN with multi-scale rotation invariance features for ship classification Q Shi, W Li, F Zhang, W Hu, X Sun, L Gao Ieee Access 6, 38656-38668, 2018 | 42 | 2018 |
| SAR target small sample recognition based on CNN cascaded features and AdaBoost rotation forest F Zhang, Y Wang, J Ni, Y Zhou, W Hu IEEE Geoscience and Remote Sensing Letters 17 (6), 1008-1012, 2019 | 37 | 2019 |
| 基于暗通道优先的单幅图像去雾新方法 胡伟， 袁国栋， 董朝， 疏学明 计算机研究与发展, 2132-2140, 2010 | 35 | 2010 |
| Interactive volume caustics in single-scattering media W Hu, Z Dong, I Ihrke, T Grosch, G Yuan, HP Seidel Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics …, 2010 | 34 | 2010 |
| Ray tracing via GPU rasterization W Hu, Y Huang, F Zhang, G Yuan, W Li The Visual Computer 30, 697-706, 2014 | 30 | 2014 |
| Accelerating spaceborne SAR imaging using multiple CPU/GPU deep collaborative computing F Zhang, G Li, W Li, W Hu, Y Hu Sensors 16 (4), 494, 2016 | 29 | 2016 |
| Multi-aspect SAR target recognition based on space-fixed and space-varying scattering feature joint learning F Zhang, Z Fu, Y Zhou, W Hu, W Hong Remote Sensing Letters 10 (10), 998-1007, 2019 | 19 | 2019 |
| A fast inference networks for SAR target few-shot learning based on improved siamese networks J Tang, F Zhang, Y Zhou, Q Yin, W Hu IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 17 | 2019 |
| A deep collaborative computing based SAR raw data simulation on multiple CPU/GPU platform F Zhang, C Hu, W Li, W Hu, P Wang, HC Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 17 | 2016 |
| A spaceborne SAR on-board processing simulator using mobile GPU H Tang, G Li, F Zhang, W Hu, W Li 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 16 | 2016 |
| High resolution SAR image synthesis with hierarchical generative adversarial networks H Huang, F Zhang, Y Zhou, Q Yin, W Hu IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 15 | 2019 |
Fan ZhangCollege of Information Science and Technology, Beijing University of Chemical Technology在 mail.buct.edu.cn 的电子邮件经过验证
